Cross Industry Standard Process for Data Mining

CRISP-DM ( Cross Industry Standard Process for Data Mining) which we plugged into as far back as 07, seems to have disappeared, along with its web site.  Data mining also appears to have been folded into the study and methods of data science.  In particular the decision tree aspects.  That is too bad, because the decision oriented pieces were particularly understandable to executives.    We found the tree methods indispensable.  A WP article still covers the basics . The six fundamental aspects of the process are:

  1.) Business Understanding
  2.) Data Understanding
  3.) Data Preparation
  4.) Modeling
  5.) Evaluation
  6.) Deployment

With lots of details included in each segment. Each element makes excellent points about what is to be done, what resources are needed, who is responsible and where the results go.    I see that SPSS Modeler (formerly Clementine) still embraces the concept.   Does anyone still teach this?